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Recognition of plant leaf image based on fractal dimension features

机译:基于分形维特征的植物叶片图像识别

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摘要

This work proposed a new method of describing the characteristics of plant leaves based on the outline fractal dimension and venation fractal dimension. First, using multiple threshold edge detection method to separate leaf edge and vein, and get multiple veins. Then, the two-dimensional fractal dimension of the leaf edge image and multiple vein images will be calculated, and a new ring projection wavelet fractal feature for leaf shape is also adopted. Finally, these two kinds' fractal dimension features are used to plant leaves classification and recognition. The experimental results demonstrated the effectiveness of the fractal dimension feature method.
机译:这项工作提出了一种基于轮廓分形维数和脉形分形维数来描述植物叶片特征的新方法。首先,使用多阈值边缘检测方法将叶边缘和叶脉分开,并获得多条叶脉。然后,计算叶片边缘图像和多静脉图像的二维分形维数,并采用了一种新的叶片形状的环形投影小波分形特征。最后,利用这两种分形维特征对植物叶片进行分类和识别。实验结果证明了分形维特征方法的有效性。

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